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Structured code review framework covering quality, security, performance, and testing standards. \n \n Provides eight-step review methodology: context understanding, high-level architecture assessment, detailed code inspection, security audit, performance analysis, testing validation, documentation check, and constructive feedback delivery \n Covers SOLID principles, naming conventions, error handling, input validation, authentication/authorization, SQL injection and XSS prevention, and resource

These are idiomatic FastAPI patterns that may appear problematic but are correct:

Conduct a systematic literature review on "$ARGUMENTS" using the paper and paper-search CLI tools.

Dispatch code review subagents with focused context to catch issues before they compound. \n \n Integrates with subagent-driven development workflows, triggering review after each task or before merging to main \n Provides code-reviewer subagent with precise git SHAs, implementation details, and requirements, keeping reviewer focused on work product rather than session history \n Categorizes feedback into Critical (fix immediately), Important (fix before proceeding), and Minor (note for later) s

Multi-dimensional code review with quality gates. Every change gets reviewed before merge — no exceptions. Review covers five axes: correctness, readability, architecture, security, and performance.

Systematic literature reviews across multiple academic databases with verified citations and professional formatting. \n \n Searches PubMed, bioRxiv, arXiv, Semantic Scholar, and specialized databases (ChEMBL, KEGG, UniProt) via integrated skills; aggregates and deduplicates results across sources \n Structures reviews through seven phases: planning, multi-database search, screening, data extraction, thematic synthesis, citation verification, and PDF generation \n Verifies all DOIs and citations

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Structured logging for TypeScript/JavaScript with framework-agnostic setup, wide events, and drain adapters. \n \n Supports 12+ frameworks: Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, NestJS, Express, Hono, Fastify, Elysia, Cloudflare Workers, and standalone TypeScript \n Detects and refactors console.log spam and unstructured errors into self-documenting wide events with grouped context \n Includes drain adapters for Axiom, OTLP, PostHog, Sentry, Better Stack, and file system; supports bat

Comprehensive SQL security, performance, and quality analysis across MySQL, PostgreSQL, SQL Server, and Oracle databases. \n \n Analyzes SQL injection vulnerabilities, access control issues, and sensitive data exposure with parameterized query examples for each database platform \n Reviews query performance through index strategy, join optimization, and anti-pattern detection (N+1 queries, function misuse in WHERE clauses, overuse of DISTINCT) \n Evaluates code quality including naming conventio